AI Deployment Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and implement AI-driven solutions utilizing Hatz AI as the core platform.

• Analyze customer data sources and requirements to establish the appropriate solution architecture.

• Create secure and compliant data pipelines that connect customer systems to AI workflows.

• Deploy AI Agents, Workflows, and Applications in live production environments.

• Maintain expertise in Hatz AI while having a working knowledge of Microsoft Co-Pilot and Anthropic Claude.

• Troubleshoot and enhance deployments managed by customers for Co-Pilot and Claude.

• Review platforms and suggest solution architectures or migrations of workloads.

• Evaluate the quality, completeness, and suitability of data for AI; design workflows for validation, cleansing, and preparation.

• Document data specifications, transformation logic, governance policies, solutions, configurations, and lessons learned.

• Ensure that data handling complies with regulations, privacy standards, and NetCov security protocols.

• Monitor and address customer-facing AI tickets in HaloPSA.

• Provide technical troubleshooting, data diagnostics, and optimization advice within service level agreements.

• Assess whether issues need standard support or escalation to vendors.

• Identify support requests that should be formalized into projects and inform the SVP of Innovation regarding scope and resources.

• Establish AI-service ticket categories in HaloPSA and track platform usage and support metrics.

• Recognize customer request trends, platform preferences, pain points, and market opportunities.

• Employ advanced prompt engineering and advocate for AI security and data governance standards.

• Stay updated with the latest AI/ML advancements, platform changes, and industry best practices.

• Collaborate with the AI & Development Director, cross-functional teams, customers, as well as Microsoft and Anthropic support.

⛳️ Requirements

• Demonstrated experience in deploying AI/ML solutions or comparable technical implementations in production settings.

• Solid understanding of prompt engineering principles, AI security best practices, and data governance issues.

• Experience with customer data sources and challenges related to data quality.

• Knowledge of ETL/ELT processes or API-based data connections.

• Familiarity with ticketing and service management systems; experience with HaloPSA is advantageous.

• Exceptional technical communication skills suitable for both technical and non-technical audiences.

• Ability to self-direct problem-solving and thrive in a fast-paced, growing team environment.

• Working knowledge of, or the capability to quickly learn, various AI platforms and associated tools.

• Previous experience with the Hatz AI platform or similar AI-as-a-service solutions is preferred.

• Practical experience with Microsoft Co-Pilot, Azure OpenAI, or Anthropic Claude API/platform integrations is preferred.

• Background in customer-facing technical support, professional services, project management, or service delivery is preferred.

• Experience in defining support processes and categorization systems in managed services or MSP settings is preferred.

• Experience with data quality assessment, validation, or master data management is preferred.

• Familiarity with GDPR, CCPA, HIPAA, or similar compliance frameworks is preferred.

• Background in data architecture or database administration is preferred.

• Availability from Monday to Friday, 8:00 AM to 5:00 PM EST.

• May require travel to industry events, office locations, and company functions.

🏝️ Benefits

• Performance-based incentives and commissions.

• Ongoing training opportunities.

• Career development initiatives.

• Prospects for advancement.

• Collaborative work culture.

• Travel opportunities to industry events and company functions.